Reference Hub3
An Optimization-Based Decision Support Framework for Robust Airline Crew Pairing Process

An Optimization-Based Decision Support Framework for Robust Airline Crew Pairing Process

Bülent Soykan, Serpil Erol
ISBN13: 9781466686489|ISBN10: 1466686480|EISBN13: 9781466686496
DOI: 10.4018/978-1-4666-8648-9.ch001
Cite Chapter Cite Chapter

MLA

Soykan, Bülent, and Serpil Erol. "An Optimization-Based Decision Support Framework for Robust Airline Crew Pairing Process." Using Decision Support Systems for Transportation Planning Efficiency, edited by Ebru V. Ocalir-Akunal, IGI Global, 2016, pp. 1-35. https://doi.org/10.4018/978-1-4666-8648-9.ch001

APA

Soykan, B. & Erol, S. (2016). An Optimization-Based Decision Support Framework for Robust Airline Crew Pairing Process. In E. Ocalir-Akunal (Ed.), Using Decision Support Systems for Transportation Planning Efficiency (pp. 1-35). IGI Global. https://doi.org/10.4018/978-1-4666-8648-9.ch001

Chicago

Soykan, Bülent, and Serpil Erol. "An Optimization-Based Decision Support Framework for Robust Airline Crew Pairing Process." In Using Decision Support Systems for Transportation Planning Efficiency, edited by Ebru V. Ocalir-Akunal, 1-35. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8648-9.ch001

Export Reference

Mendeley
Favorite

Abstract

Robust airline crew pairing process refers to the procedure of constructing anonymous crew pairings to cover the given flight schedule in near-optimal way that is less prone to disruptions or easier to recover once disrupted. This process has to deal with complicated specifications of inputs and satisfy a number of different and often conflicting constraints. Also user inputs are often needed in several points in the process to obtain high quality and timely solutions. This chapter presents a model-driven Decision Support Framework (DSF) which utilizes an optimization algorithm that generates robust crew schedules and a simulation model that evaluates the schedules in terms of their robustness quality. The presented DSF can primarily assist airline crew schedule planners, who have to spend a lot of time and effort creating crew schedules taking into account non-linear cost structure, various amounts of constraints that affect cost and flight safety. The proposed DSF can be used either as a standalone tool or as part of an integrated or enterprise-level DSS.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.